Learning loopDemo-led · Custom deployment
RSI Agent
Self-improving GTM agent
Marketing that improves itself.
Built on the NVIDIA DGX Spark champion agent team
Backed by programs from
Our announcementsRSI for go-to-market
Go‑to‑market that improves itself.
The RSI Agent runs your marketing, learns from every result, and gets better each cycle. You approve what it keeps.
RSI Agentcycle 07
Sample cycle- RunLinkedIn series + 3 GEO fixes shipped
- MeasureCitations and replies pulled in
- Review2 defects: weak hook, unsourced claim
- CommitNew playbook + new pre-ship check
Cost per accepted asset · illustrative↘ compounding
§ 1Thesis
Why Florus exists, and the number that would prove us wrong.
Recursive self‑improvement will define the AI era. We point it at go‑to‑market.
Why go-to-market first
Recurring work. The same jobs repeat, so lessons get reused.
Fast feedback. Results arrive in days, not quarters.
Reviewable output. Every asset is accepted or rejected — auditable.
The claim we’ll be held to
“Same budget, more accepted work — every cycle.”
- Accepted assets per dollar
- The headline number.
- Repeat-defect rate
- Does a fixed mistake stay fixed?
- Asset reuse
- Are playbooks actually being used?
- Human override rate
- How often you have to step in.
- Ungoverned agents
- Governed RSI loop
- Governance alpha — the gap between them
§ 2The RSI loop
Every cycle ends smarter.
It ships, measures, and keeps what worked — once you approve.
- 01RunShip campaigns, posts, fixes, and outreach.
- 02MeasurePull back citations, replies, and edits.
- 03ReviewScore results. Find the root cause.
- 04CommitTurn lessons into assets — with your approval.
- 05CompoundStart the next cycle from what was learned.
§ 3What compounds
What it keeps.
Only what pays for itself.
- Market memory
- ICP, voice, objections, and what has been tried.
- Playbooks
- Winning hooks and sequences, made reusable.
- Quality checks
- Repeated mistakes become pre-ship checks.
- Routing policy
- The right channel and model for each job.
Memory
Skills
Harness
Routing
Governed, not autopilot
Self-improving, never self-approving.
Risk-tiered review
Brand, claims, and spend need a human.
Full ledger
Every change is recorded with evidence.
Rollback
Any asset can be retired when it stops paying.
§ 4Products
One system, three ways in.
Signal, execution, and the loop that learns from both.
SignalLive · Self-serve
GeoCompanion.ai
AI visibility platform
See how AI engines read your brand — and what to fix.
ExecutionLive · Self-serve
Launchvibes
Creator growth engine
Hooks and campaigns for founder-led growth.
Building in public? Join the Launchvibes creator cohort.
Apply to Creator Growth§ 5Client proof
GTM systems for teams that need to be found, understood, and remembered.
From GTM, messaging, and content work.
Florus helped turn complex product and launch ideas into clearer GTM messaging, partner-facing materials, and content direction.
The work focused on making a technical product easier to explain across launch, partner, and content surfaces.
Florus helped package a technical protocol into a clearer market story, stronger website/product messaging, and a more repeatable GTM workflow.
The work connected protocol positioning, website clarity, and repeatable GTM execution.
Florus helped sharpen the product narrative and identify what needed to be communicated more clearly before scaling GTM.
The work focused on clarifying the product story and surfacing the gaps that needed to be fixed before broader distribution.
Florus helped clarify the vision, PMF narrative, and content priorities so the team could communicate the product more effectively.
The work helped turn early product direction into clearer GTM priorities and communication surfaces.
§ 6Field notes
Guides, comparisons, and product thinking.
Notes on AI visibility, growth, and self-improving agents.
2026-04-156 min read
AI Visibility Is Only Half the Loop
Why diagnosis without execution leaves founder teams stuck, and why Florus is building connected products instead of another isolated dashboard.
Read article →2026-04-157 min read
What Founders Need From an AI Marketer
The practical definition of an all-in-one AI marketer for lean teams: visibility signal, content systems, and strategy that can compound without a large department.
Read article →§ 7Careers
Help build GTM systems that compound.
A few focused roles. Direct contact.